- Triplebyte raises $35M for its online coding test and credentialing service for hiring engineers
- Triplebyte incubates ColorStack to increase Black and Latinx representation in CS programs
- CNBC (Your Next Job Interview Could be with a Robot)
- Building an Engineering Team - Harj Taggar and Ammon Bartram
Triplebyte has developed a modern approach to skill assessments, backed by extensive psychometrics research and validated with real technical interviews and hiring outcomes at 1,000+ companies. Our assessments are background-blind, unbiased, and designed to be highly predictive of success in downstream technical interviews, thus they help every candidate put their best foot forward when being considered for an engineering / data science role.
As a Subject Matter Expert, you’ll develop new content for multiple-choice skill assessments in Data Science. Through these questions you’ll look to test understanding of various concepts, models, technologies and practical implementation considerations that Data Scientists need to be familiar with. The content will span a range of skill levels — from Entry-level through Principal. We design the content to be clear, unbiased, and relevant to practical jobs in the tech industry. Therefore we are looking for people with a combination of practical experience in the industry, detail orientation and an interest in teaching / coaching.
What you'll do
- Identify topics to develop content
- Develop questions for multiple-choice tests in Data Science
- Work with Triplebyte’s assessments team to review questions for quality assurance
- Peer review questions developed by other subject matter experts
What you'll need to be successful
- 5+ years professional experience with Data Science
- Experience in hiring or interviewing Data Scientists
- Understanding of Data Science concepts such as causal inference, A/B testing, advanced experimentation, statistics interpretation, etc.
- Knowledge of practical implementation of Data Science in current real-world applications
- Familiarity with tools, languages and Libraries commonly used in Data Science, e.g. Python, R, Scikit, SAS, Spark, etc.
Bonus Qualifications
- Academic / teaching experience
- Writing / editing experience
We have a laid-back, friendly office culture. Over lunch you'll often find us discussing the latest in technology, books, and pop culture, and then maybe getting in a quick game of chess or babyfoot (foosball).
Since we're an early-stage company, we move fast, and it's important that each member of our team is able to take ownership of projects by defining problems, brainstorming solutions, and running experiments.
Even if your experience doesn’t match all of the above requirements, we invite you to apply anyway. We recognize that talent comes in different forms. Our business is matching engineers with their next great opportunity, regardless of background. We apply the same ethos to our internal hiring. We're looking for a team member with enthusiasm and the ability to do the job, not a perfect resume.
Compensation and Benefits for full time employees
- Competitive salary and stock options package
- Open vacation policy
- Employer-paid health, vision, and dental insurance
- 401(k) plan
- Pre-tax commuter benefits
- Daily catered lunches
The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company does not discriminate against employees or applicants (in any aspect of employment, including, but not limited to recruiting and hiring, job assignment, compensation, opportunities for advancement, promotion, transfers, evaluation, benefits, training, discipline, and termination), on the basis of any characteristic protected under applicable federal, state, or local laws.
